Prediction of transition to psychosis from an at-risk mental state using structural neuroimaging, genetic, and environmental data

Prediction of transition to psychosis from an at-risk mental state using structural neuroimaging, genetic, and environmental data

IntroductionPsychosis is usually preceded by a prodromal phase in which patients are clinically identified as being at in an “At Risk Mental State” (ARMS). A few studies have demonstrated the feasibility of predicting psychosis transition from an ARMS using structural magnetic resonance imaging (sMR...

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Bibliographic Details
Main Authors: Vânia Tavares, Evangelos Vassos, Andre Marquand, James Stone, Isabel Valli, Gareth J. Barker, Hugo Ferreira, Diana Prata
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Psychiatry
Subjects:
machine learning
biomarker
schizophrenia
ARMS
prognosis
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2022.1086038/full

Internet

https://www.frontiersin.org/articles/10.3389/fpsyt.2022.1086038/full

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